WHFDL: an explainable method based on World Hyper-heuristic and Fuzzy Deep Learning approaches for gastric cancer detection using metabolomics data [0.03%]
基于世界高启发式和模糊深度学习方法的胃癌代谢组学数据检测模型WHFDL：一种可解释的方法
Nora Mahdavi,Arman Daliri,Mahdieh Zabihimayvan et al.
Nora Mahdavi et al.
Background: Gastric Cancer remains one of the most prevalent cancers worldwide, with its prognosis heavily reliant on early detection. Traditional GC diagnostic methods are invasive and risky, prompting interest in non-in...
MediNet: ensemble transfer learning approach for classification of medical drugs-related text reviews using significant combined-embeddings [0.03%]
基于重要结合嵌入的医疗药物相关文本评论分类的集成迁移学习方法
Tai-Hoon Kim,Asma Aldrees,Dina Abdulaziz AlHammadi et al.
Tai-Hoon Kim et al.
This research work provides an innovative approach, called MediNet, for drug safety review classification that integrates the strengths of three word embedding approaches: FastText, ELMo, and GloVe, alongside an ensemble of EfficientNetB4 a...
An intelligent healthcare system for rare disease diagnosis utilizing electronic health records based on a knowledge-guided multimodal transformer framework [0.03%]
一种基于知识引导的多模态变换器框架利用电子健康记录诊断罕见病的智能医疗系统
Ahed Abugabah,Prashant Kumar Shukla,Piyush Kumar Shukla et al.
Ahed Abugabah et al.
Rare diseases are a common problem with millions of patients globally, but their diagnosis is difficult because of varied clinical presentations, small sample size, and disparate biomedical data sources. Current diagnostic tools are not abl...
A graph-theoretic framework for quantitative analysis of angiogenic networks [0.03%]
用于定量分析生血管网络的图论框架
Goodluck Okoro,Pawel Wityk,Michael B Nelappana et al.
Goodluck Okoro et al.
The endothelial tube formation assay is an established in vitro model for evaluating angiogenesis. Although widely used, quantification of angiogenic behavior in such assays remains semi-empirical and often lacks spatial, topological, and s...
Goodluck Okoro,Pawel Wityk,Michael B Nelappana et al.
Goodluck Okoro et al.
The endothelial tube formation assay is an established in vitro model for evaluating angiogenesis. Although widely used, quantification of angiogenic behavior in such assays remains semi-empirical and often lacks spatial, topological, and s...
Decoding ancestry-specific genetic risk: interpretable deep feature selection reveals prostate cancer SNP disparities in diverse populations [0.03%]
解码特定遗传风险：可解释的深度特征选择揭示了多个人群中前列腺癌SNP差异
Zhong Chen,Zichen Lao,You Lu et al.
Zhong Chen et al.
Background: The clinical potential of single nucleotide polymorphisms (SNPs) in prostate cancer (PCa) diagnosis has been extensively explored using conventional statistical and machine learning approaches. However, the pr...
Cross-regional radiomics: a novel framework for relationship-based feature extraction with validation in Parkinson's disease motor subtyping [0.03%]
跨区域影像组学：一种基于关系的特征提取的新框架，并在帕金森病运动分型中进行验证
Mahboube Sadat Hosseini,Seyyed Mahmoud Reza Aghamiri,Mehdi Panahi
Mahboube Sadat Hosseini
Traditional radiomics approaches focus on single-region feature extraction, limiting their ability to capture complex inter-regional relationships crucial for understanding pathophysiological mechanisms in complex diseases. This study intro...
MoRFs_TransFuse: a MoRFs predictor based on multimodal feature fusion and the lightweight Transformer network [0.03%]
基于多模态特征融合和轻量级Transformer网络的MoRFs预测器
Lele Zhang,Hao He,Xuesen Shi
Lele Zhang
Molecular recognition features (MoRFs) can facilitate specific protein-protein interactions by undergoing disorder-to-order transitions when binding to their protein partners. Thus, it is essential to accurately predict MoRFs. In this paper...
Proteome mining of Yersinia Enterocolitica for drug targets and computational inhibitor identification with ADMET, anti-inflammation potential and formulation characteristics [0.03%]
基于药物作用靶点的耶尔森菌蛋白组学研究及计算筛选抑制剂与药代性质预测
Zarrin Basharat,Youssef Saeed Alghamdi,Mutaib M Mashraqi et al.
Zarrin Basharat et al.
Yersinia enterocolitica infection can manifest as self-limiting gastroenteritis and may lead to more severe conditions, such as mesenteric lymphadenitis, reactive arthritis, or rare systemic infections. Fluoroquinolones and third-generation...
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clustering [0.03%]
通过纵向聚类对脓毒症患者进行时间表型分析和预后分层
Patrizia Ribino,Maria Mannone,Claudia Di Napoli et al.
Patrizia Ribino et al.
Sepsis is a critical medical condition characterized by a highly variable and rapidly evolving clinical course, often necessitating early intervention and tailored treatment plans to improve patient outcomes. Due to its complexity and heter...